Design and fabrication of a microelectrode array for studying epileptiform discharges from rodents.

Autor: Chatterjee S; Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore, India., Joshi RK; Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore, India., Sakorikar T; Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore, India., Behera B; Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore, India., Bhaskar N; Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore, India., Kv SG; Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore, India.; MS Ramaiah Memorial Hospital, Bangalore, India., Jayachandra M; Center for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, India., Pandya HJ; Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore, India. hjpandya@iisc.ac.in.
Jazyk: angličtina
Zdroj: Biomedical microdevices [Biomed Microdevices] 2023 Aug 16; Vol. 25 (3), pp. 31. Date of Electronic Publication: 2023 Aug 16.
DOI: 10.1007/s10544-023-00672-0
Abstrakt: Local field potentials, the extracellular electrical activities from brain regions, provide clinically relevant information about the status of neurophysiological conditions, including epilepsy. In this study, a 13-channel silicon-based single-shank microelectrode array (MEA) was designed and fabricated to record local field potentials (LFPs) from the different depths of a rat's brain. A titanium/gold layer was patterned as electrodes on an oxidized silicon substrate, and silicon dioxide was deposited as a passivation layer. The fabricated array was implanted in the somatosensory cortex of the right hemisphere of an anesthetized rat. The developed MEA was interfaced with an OpenBCI Cyton Daisy Biosensing Board to acquire the local field potentials. The LFPs were acquired at three different neurophysiological conditions, including baseline signals, chemically-induced epileptiform discharges, and recovered baseline signals after anti-epileptic drug (AED) administration. Further, time-frequency analyses were performed on the acquired biopotentials to study the difference in spatiotemporal features. The processed signals and time-frequency analyses clearly distinguish between pre-convulsant and post-AED baselines and evoked epileptiform discharges.
(© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
Databáze: MEDLINE
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